Position Summary
We are seeking a highly skilled AI Agent Developer to design, build, and deploy a web-based AI agent that will automate and elevate our core QA coordination tasks.
The primary mission for this role is to create an intelligent system that:
* learns and internalises our comprehensive Test Policies
* analyzes new Release Notes as they are published
* generates a precise, actionable Test Guide based on the changes identified
* publishes this guide automatically to our internal QA website
This is a unique opportunity to build a sophisticated AI solution from the ground up, directly impacting our operational efficiency and product quality. You will be translating complex human‑led coordination into a streamlined, autonomous process.
This is a 12 month outsourced contract role where you will be working via one of our preferred recruitment agencies on an hourly rate.
Role and Responsibilities
* Design and implement NLP pipelines to parse, understand, and extract key information from unstructured Release Notes and technical Test Policy documents.
* Develop and fine‑tune a RAG (Retrieval‑Augmented Generation) system, training a model on our specific QA policies to ensure generated content is accurate and context‑aware.
* Build a robust AI agent architecture using modern LLM APIs (e.g., OpenAI, Anthropic, Gemini) and application frameworks (e.g., LangChain, LlamaIndex).
* Develop the backend API integrations necessary for the AI agent to automatically publish its generated test guides to our internal web platform.
* Create and maintain a simple, effective web‑based UI for the QA team to interact with, review, and (if necessary) override the AI agent's outputs.
* Implement rigorous evaluation and monitoring systems to track the accuracy, relevance, and utility of the AI‑generated guides.
* Collaborate closely with QA Coordinators and Engineers to gather feedback, understand nuanced requirements, and continuously improve the agent's performance.
Skills and Qualifications
Required Qualifications (Must‑Haves)
* Bachelor's degree in Computer Science, AI, or a related technical field.
* Experience in software development (Backend or Full‑Stack).
* Strong proficiency in Python (preferred) or other backend languages (e.g., Node.js, Java) and associated frameworks (e.g., Flask, Django, Express).
* Proven experience building applications using LLM APIs (e.g., Open AI) in a commercial or production‑level environment.
* Hands‑on experience with AI frameworks like LangChain or LlamaIndex.
* Excellent English communication skills, both written and verbal. (co‑work with HQ)
* Must have the legal right to work in the UK.
Preferred Qualifications (Nice‑to‑Haves)
* Experience in designing or building agentic AI systems.
* Experience deploying AI solutions in a cloud environment (AWS, GCP, Azure) and familiarity with MLOps.
* Knowledge of CI/CD pipelines and DevOps principles.
* A portfolio of projects demonstrating Business Process Automation (BPA).
Location and Hybrid Working:
* The role is based at Samsung R&D Institute in Staines‑upon‑Thames, Surrey, UK.
* Samsung currently operates a hybrid working policy of 3 days onsite and 2 days working from home weekly.
Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a previous employer.
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